Neuropsychiatric Disease and Treatment (Jul 2022)
Abnormal Degree Centrality in Children with Low-Function Autism Spectrum Disorders: A Sleeping-State Functional Magnetic Resonance Imaging Study
Abstract
Shoujun Xu,1,* Meng Li,2,* Chunlan Yang,3 Xiangling Fang,4 Miaoting Ye,4 Yunfan Wu,2 Binrang Yang,4 Wenxian Huang,4 Peng Li,1 Xiaofen Ma,2 Shishun Fu,2 Yi Yin,2 Junzhang Tian,2 Yungen Gan,1 Guihua Jiang2 1Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, People’s Republic of China; 2Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People’s Republic of China; 3Department of Hematology and Oncology, Shenzhen Children’s Hospital, Shenzhen, People’s Republic of China; 4Department of Department of Children Healthcare, Shenzhen Children’s Hospital, Shenzhen, People’s Republic of China*These authors have contributed equally to this workCorrespondence: Guihua Jiang; Yungen Gan, Email [email protected]; [email protected]: This study used the graph-theory approach, degree centrality (DC) to analyze whole-brain functional networks at the voxel level in children with ASD, and investigated whether DC changes were correlated with any clinical variables in ASD children.Methods: The current study included 86 children with ASD and 54 matched healthy subjects Aged 2– 5.5 years. Next, chloral hydrate induced sleeping-state functional magnetic resonance imaging (ss-fMRI) datasets were acquired from these ASD and healthy subjects. For a given voxel, the DC was calculated by calculating the number of functional connections with significantly positive correlations at the individual level. Group differences were tested using two-sample t-tests (p < 0.01, AlphaSim corrected). Finally, relationships between abnormal DCs and clinical variables were investigated via Pearson’s correlation analysis.Results: Children with ASD exhibited low DC values in the right middle frontal gyrus (MFG) (p
